As a senior engineer, you will take ownership of critical platform components, including Terraform automation and Managed Workflows for Apache Airflow (MWAA), and contribute significantly to strategic decisions, ensuring alignment with both business and technical objectives.

Job responsibilities

Lead the design, implementation, and management of a secure, highly available, and scalable AWS platform infrastructure, proactively executing strategies to balance cost, reliability, and performance across all cloud services.

Architect, maintain, and optimize automated CI/CD pipelines using Harness and GitHub for fast feedback loops, including designing robust deployment processes specifically for data environments (dbt CI/CD and Apache Airflow/AWS MWAA).

Manage and optimize containerized environments (Docker, Kubernetes, Amazon EKS) and drive the adoption of Infrastructure as Code (IaC) using Terraform for scalable resource management and provisioning.

Ensure platform stability by troubleshooting complex issues, performing detailed root cause analysis, and driving effective corrective actions.

Advance DevOps and GitOps practices across the organization while mentoring junior engineers and providing technical guidance to cross-functional teams.

Job qualifications

Technical Skills

Core AWS & Cloud Architecture: Solid background in structuring secure, highly scalable cloud architectures with a strict focus on AWS (including serverless, advanced networking, and best practices).

Requires mastery of Amazon EKS, alongside advanced knowledge in performance tuning, cost optimization, and platform scaling.

Data Orchestration & Workflows: Extensive hands-on experience in managing and deploying complex data workflows, requiring deep knowledge of Apache Airflow, AWS MWAA, and dbt (Data Build Tool), including proven experience implementing dbt CI/CD pipelines.

Platform Engineer Sr. - AWS / Airflow

Responsibilities

Qualification

Required

Company

c898d712-c4ab-4157-954a-5df226a781e2

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